About us:
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.
about TII
At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.
Pyramid overview
A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on
Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target’s culture and apply retail domain knowledge.
As Senior Data Scientist, you will join a Data Sciences team responsible for building ML solutions for Roundel. You will play crucial role in designing, implementing, and optimising highly scalable machine learning solutions in production.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
Requirements:
5+ or more years of extensive experience in Machine Learning models.
Experience in developing and optimising the scalable machine learning solutions for various business use cases.
Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate them to machine learning solutions.
Strong experience in one of the general programming languages (Python or Java). Familiarity with Big Data frameworks Like Hadoop and Spark is essential. Familiarity with Machine learning frameworks like TensorFlow, Pytorch or Keras is preferred.
Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
Self-driven and results oriented; able to meet tight timelines
Preferred Qualifications:
MS or PhD in a quantitative field
Experience in designing, implementing, and deploying Machine learning models in production environment.
Know More About Us here:
Life at Target- https://india.target.com/
Benefits- https://india.target.com/life-at-target/workplace/benefits
Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.
For more information, visit corporate.target.com.
Beware of Hiring Scams:
Target will never ask you to submit personal information via a text message for a position. Target will only ask you to apply for positions through corporate.target.com/careers, or Workday, our applicant tracking system.
